A Pipelined Framework for Online Cleaning of Sensor Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Towards correcting input data errors probabilistically using integrity constraints
MobiDE '06 Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access
Adaptive cleaning for RFID data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A deferred cleansing method for RFID data analytics
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A distributed architecture for scalable private RFID tag identification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient RFID Data Imputation by Analyzing the Correlations of Monitored Objects
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Efficient Data Interpretation and Compression over RFID Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
A Sampling-Based Approach to Information Recovery
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Finding misplaced items in retail by clustering RFID data
Proceedings of the 13th International Conference on Extending Database Technology
Leveraging spatio-temporal redundancy for RFID data cleansing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Declarative support for sensor data cleaning
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
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Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality due to frequent occurrences of false negative, false positive and duplicate readings. A number of RFID data cleaning techniques are proposed to solve the problem. In this paper we explore to use communication information for RFID data cleaning and make RFID readers produce less dirty data at the early stage. First, we devise a reader communication protocol for efficiently utilizing the communication information among readers. Then, the cell event sequence tree with parameters is proposed. Finally, we present three novel RFID data cleaning methods, respectively for duplicate readings, false positive readings and data interpolating. To the best of our knowledge, this is the first work utilizing the communication information among readers in RFID data cleaning. We conduct extensive experiments, and the experimental results demonstrate the feasibility and effectiveness of our methods.